From the 1 of 6 linked papers with an AI index.
6 papers
Diffusion Denoiser-Aided Gyrocompassing
Gershy Ben-Arie, Daniel Engelsman, Rotem Dror +1
The paper introduces a diffusion‑based denoising front‑end combined with a deep learning heading estimator to improve gyrocompassing accuracy for low‑cost gyroscopes, achieving not…
Revisiting Certainty Equivalence: The Structural Coupling Between Estimation and Control in Underactuated Nonlinear Systems
Daniel Engelsman, Itzik Klein
The certainty equivalence (CE) principle underpins a wide range of control architectures by enabling the separation of estimation and control design. While this property holds for…
AERO-LQG: Aerial-Enabled Robust Optimization for LQG-Based Quadrotor Flight Controller
Daniel Engelsman, Itzik Klein
Quadrotors are indispensable in civilian, industrial, and military domains, undertaking complex, high-precision tasks once reserved for specialized systems. Across all contexts, en…
C-ZUPT: Stationarity-Aided Aerial Hovering
Daniel Engelsman, Itzik Klein
Autonomous systems across diverse domains have underscored the need for drift-resilient state estimation. Although satellite-based positioning and cameras are widely used, they oft…
Diffusion-Driven Inertial Generated Data for Smartphone Location Classification
Noa Cohen, Rotem Dror, Itzik Klein
Despite the crucial role of inertial measurements in motion tracking and navigation systems, the time-consuming and resource-intensive nature of collecting extensive inertial data…
Inertial-Based LQG Control: A New Look at Inverted Pendulum Stabilization
Daniel Engelsman, Itzik Klein
Linear quadratic Gaussian (LQG) control is a well-established method for optimal control through state estimation, particularly in stabilizing an inverted pendulum on a cart. In st…